001452587 000__ 05635cam\a2200553\i\4500
001452587 001__ 1452587
001452587 003__ OCoLC
001452587 005__ 20230314003309.0
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001452587 007__ cr\un\nnnunnun
001452587 008__ 221222s2023\\\\sz\a\\\\o\\\\\101\0\eng\d
001452587 020__ $$a9783031189883$$q(electronic bk.)
001452587 020__ $$a3031189884$$q(electronic bk.)
001452587 020__ $$z9783031189876$$q(electronic bk.)
001452587 0247_ $$a10.1007/978-3-031-18988-3$$2doi
001452587 035__ $$aSP(OCoLC)1355851020
001452587 040__ $$aGW5XE$$beng$$erda$$epn$$cGW5XE$$dOCLCF
001452587 049__ $$aISEA
001452587 050_4 $$aGC11.2
001452587 08204 $$a551.46$$223/eng/20221222
001452587 1112_ $$aSTUOD (Workshop)$$d(2021 :$$cLondon, England ; Online)
001452587 24510 $$aStochastic transport in upper ocean dynamics :$$bSTUOD 2021 Workshop, London, UK, September 20-23 /$$cBertrand Chapron, Dan Crisan, Darryl Holm, Etienne Mémin, Anna Radomska, editors.
001452587 2463_ $$aSTUOD 2021
001452587 264_1 $$aCham :$$bSpringer,$$c2023.
001452587 300__ $$a1 online resource (xvi, 317 pages) :$$billustrations (some color).
001452587 336__ $$atext$$btxt$$2rdacontent
001452587 337__ $$acomputer$$bc$$2rdamedia
001452587 338__ $$aonline resource$$bcr$$2rdacarrier
001452587 4901_ $$aMathematics of Planet Earth,$$x2524-4272 ;$$vvolume 10
001452587 500__ $$aIncludes index.
001452587 5050_ $$aBlow-up of strong solutions of the Thermal Quasi-Geostrophic equation (R. Mensah) -- Modeling under location uncertainty: a convergent large-scale representation of the Navier-Stokes equations -- (E. Mémin) -- A stochastic Benjamin-Bona-Mahony type equation (E. Dinvay) -- Observation-based noise calibration: an efficient dynamics for the Ensemble Kalman filter (B. Dufée) -- A two-step numerical scheme in time for surface quasi geostrophic equations under location uncertainty (C. Fiorini) -- The Dissipation Properties of Transport Noise (F. Flandoli) -- Existence and Uniqueness of Maximal Solutions to a 3D Navier-Stokes Equation with Stochastic Lie Transport (D. Goodair) -- Ponderomotive coupling of waves to sea surface currents via horizontal density gradients (R. Hu) -- Variational Stochastic Parameterisations and their Applications to Primitive Equation Models (S. Patching) -- A pathwise parameterisation for stochastic transport (O. Lang) -- Stochastic parameterization with dynamic mode decomposition (L. Li) -- Deep Learning for the Benes Filter (A. Lobbe). End-to-End Kalman Filter in a High Dimensional Linear Embedding of the Observations (S. Ouala) -- Dynamical Properties of Weather Regime Transitions (P. Platzer) -- Frequentist perspective on robust parameter estimation using the ensemble Kalman filter (S. Reich) -- Random ocean swell-rays: a stochastic framework (V. Resseguier) -- Modified (hyper-)viscosity for coarse-resolution ocean models (L. Thiry) -- Boussinesq equations under location uncertainty: theoretical description and models development (L. Li) -- Bridging Koopman Operator and time-series auto-correlation based Hilbert-Schmidt operator (Y. Zhen).
001452587 5060_ $$aOpen access.$$5GW5XE
001452587 520__ $$aThis open access proceedings volume brings selected, peer-reviewed contributions presented at the Stochastic Transport in Upper Ocean Dynamics (STUOD) 2021 Workshop, held virtually and in person at the Imperial College London, UK, September 20-23, 2021. The STUOD project is supported by an ERC Synergy Grant, and led by Imperial College London, the National Institute for Research in Computer Science and Automatic Control (INRIA) and the French Research Institute for Exploitation of the Sea (IFREMER). The project aims to deliver new capabilities for assessing variability and uncertainty in upper ocean dynamics. It will provide decision makers a means of quantifying the effects of local patterns of sea level rise, heat uptake, carbon storage and change of oxygen content and pH in the ocean. Its multimodal monitoring will enhance the scientific understanding of marine debris transport, tracking of oil spills and accumulation of plastic in the sea. All topics of these proceedings are essential to the scientific foundations of oceanography which has a vital role in climate science. Studies convened in this volume focus on a range of fundamental areas, including: Observations at a high resolution of upper ocean properties such as temperature, salinity, topography, wind, waves and velocity; Large scale numerical simulations; Data-based stochastic equations for upper ocean dynamics that quantify simulation error; Stochastic data assimilation to reduce uncertainty. These fundamental subjects in modern science and technology are urgently required in order to meet the challenges of climate change faced today by human society. This proceedings volume represents a lasting legacy of crucial scientific expertise to help meet this ongoing challenge, for the benefit of academics and professionals in pure and applied mathematics, computational science, data analysis, data assimilation and oceanography.
001452587 588__ $$aOnline resource; title from PDF title page (SpringerLink, viewed December 22, 2022).
001452587 650_0 $$aOceanography$$vCongresses.
001452587 655_7 $$aConference papers and proceedings.$$2fast$$0(OCoLC)fst01423772
001452587 655_0 $$aElectronic books.
001452587 7001_ $$aChapron, Bertrand,$$eeditor.
001452587 7001_ $$aCrisan, Dan,$$eeditor.
001452587 7001_ $$aHolm, Darryl,$$eeditor.
001452587 7001_ $$aMémin, Etienne,$$eeditor.
001452587 7001_ $$aRadomska, Anna,$$eeditor.
001452587 830_0 $$aMathematics of planet Earth ;$$vv. 10.$$x2524-4272
001452587 852__ $$bebk
001452587 85640 $$3Springer Nature$$uhttps://link.springer.com/10.1007/978-3-031-18988-3$$zOnline Access$$91397441.2
001452587 909CO $$ooai:library.usi.edu:1452587$$pGLOBAL_SET
001452587 980__ $$aBIB
001452587 980__ $$aEBOOK
001452587 982__ $$aEbook
001452587 983__ $$aOnline
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